Big Data Analytics in Chemoinformatics and Bioinformatics: With Applications to
Computer-Aided Drug Design, Cancer Biology, Emerging Pathogens and
Computational Toxicology provides an up-to-date presentation of big data
analytics methods and their applications in diverse fields. The proper
management of big data for decision-making in scientific and social issues is of
paramount importance. This book gives researchers the tools they need to solve
big data problems in these fields. It begins with a section on general topics that all
readers will find useful and continues with specific sections covering a range of
interdisciplinary applications.
Here, an international team of leading experts review their respective fields and
present their latest research findings, with case studies used throughout to
analyze and present key information.
- Brings together the current knowledge on the most important aspects of big
data, including analysis using deep learning and fuzzy logic, transparency and data
protection, disparate data analytics, and scalability of the big data domain
- Covers many applications of big data analysis in diverse fields such as chemistry,
chemoinformatics, bioinformatics, computer-assisted drug/vaccine design,
characterization of emerging pathogens, and environmental protection
- Highlights the considerable benefits offered by big data analytics to science, in
biomedical fields and in industry
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